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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

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A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation.

Liyuan Li, Qianli Xu, Vijay Chandrasekhar

IEEE Transactions on Cybernetics

|March 9, 2016

Summary

This study introduces a wearable virtual usher for indoor navigation using egocentric vision. The system enhances cognitive wayfinding accuracy by over 13% compared to traditional methods.

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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Published on: August 26, 2018

Area of Science:

Cognitive Science
Artificial Intelligence
Computer Vision
Mobile Computing

Background:

Indoor navigation presents challenges due to complex environments and reliance on egocentric visual perception.
Existing methods often lack adaptability to dynamic conditions and real-time environmental changes.

Purpose of the Study:

To develop a wearable virtual usher for cognitive indoor navigation.
To create a novel computational framework for wayfinding using egocentric visual input.
To improve navigation accuracy and user experience in indoor environments.

Main Methods:

Proposed a computational framework including context, route, and process models for cognitive wayfinding.
Utilized a hierarchical structure for representing indoor scene context knowledge.
Developed a dynamic Bayesian network (DBN) model with an online adaptation algorithm for real-time navigation.

Main Results:

The self-adaptive DBN model demonstrated over 13% improvement in navigation accuracy compared to hidden Markov model baselines.
Quantitative evaluation confirmed the technical performance of the wearable virtual usher prototype.
User studies indicated the system effectively emulates a human usher in guiding participants.

Conclusions:

The proposed wearable virtual usher offers a significant advancement in cognitive indoor navigation.
The self-adaptive DBN framework provides robust and accurate egocentric visual navigation.
This technology has the potential to enhance user experience and independence in indoor environments.